Security Scan Report: edythezrjennee.pages.dev

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Submitted: Dec 11, 2025, 2:21:50 PMCompleted: Dec 11, 2025, 2:22:41 PMpubliccompleted
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Summary

This website contacted 23 IPs in 2 countries across 8 domains to perform 73 HTTP transactions. The main domain is edythezrjennee.pages.dev and was registered NaN years ago.

Submitted URL: https://edythezrjennee.pages.dev/xzfuxzb-att-stadium-seating-map-images-ofxytts/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Impersonates AT&T brand on a non‑official domain; high risk of phishing.

Risk Factors
Brand impersonation (AT&T) on unrelated domain
Unranked domain with brand claim
Mismatch between brand name and hosting domain
Domain age information unavailable

Details

Page Title

At&T Stadium Seating Map - Edie Nettie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'edythezrjennee.pages.dev' is registered and includes subdomain 'edythezrjennee'. Count 5 characters in 'pages' with 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edythezrjennee.pages.dev/xzfuxzb-att-stadium-seating-map-images-ofxytts/

Page Load Overview

31.93s
Total Load Time
73
HTTP Requests
8
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:5,205 chars
Detector Agreement:75%

Website Classification

Primary Category

travel tourism70% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
70%
news/blog
50%
corporate
35%
documentation technical
27%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.250.185.195United States
AS15169GOOGLE
3172.240.108.76United States
AS7979SERVERS-COM
3172.240.127.243United States
AS7979SERVERS-COM
3172.66.169.241United States
AS13335CLOUDFLARENET
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.66.47.43United States
AS13335CLOUDFLARENET
3172.66.44.213United States
AS13335CLOUDFLARENET
3172.240.108.68United States
AS7979SERVERS-COM
3142.250.185.106United States
AS15169GOOGLE
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7323--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102534CB6C0511027B61343E4F25A7B18D0605AA5CF128BB8B6FC6258AFC6DE344B793F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wVJjDapBT/gk4VlTwLTJhJeTJQ7x2E+yex:wVJaHTkTw3/J+JQ7x2E+yex

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62406:iLbDpVquDkwAFCwIY0DSHGADEbgCACHD2HFyogDTDhgABoRDkSAAEOTFwLEIw0igYkAAiHCdAhB9gkq1yTm7ACgIc8aApDVB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:00381838381830fe
Perceptual Hash:c82ff126d1277127
Difference Hash:c1f1f1f1f1e1e692
Wavelet Hash:6139383838383bff
Color Hash:#bf6040

Scan History

Scan history not available

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